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Nuevos modelos y representaciones del conocimiento en historiografía lingüística hispánica

Authors: Battaner Moro, Elena;

Nuevos modelos y representaciones del conocimiento en historiografía lingüística hispánica

Abstract

Esta infografía presenta uno de los resultados relevantes obtenidos del análisis del BiTe-Corpus [Battaner, Elena & Herranz, Cristina & Segovia, Ana (2022). “BiTe_Corpus” (Version 01) [Data set]. BiTe_Corpus | Zenodo)], un dataset publicado en abierto y compuesto a partir de más de 3000 resúmenes de fuentes secundarias de la historiografía lingüística hispánica obtenidos de la Bibliografía Temática (Esparza & al. 2008). Partiendo de estudios de frecuencia –en este caso, años más citados– comprobamos cómo se trata de una relación de las obras más estudiadas en el área de la historiografía lingüística hispánica. En otros trabajos hemos presentado diferentes análisis, realizados a partir de este corpus, que permiten generar nuevos objetos de representación del conocimiento y estudio en nuestras áreas (por ejemplo, los usos asociados a términos como “español” o “castellano/a”). La intención de este trabajo es mostrar las posibilidades ofrecidas por las herramientas digitales no solo en lo que a las ventajas que ofrecen para el análisis y la investigación sino además para componer nuevos modelos de representación y nuevos objetos de estudio en las Humanidades. Por último, nuestro objetivo para este Congreso es ejemplificar las posibilidades (y dificultades) de la Ciencia abierta y la necesidad de dotarnos de infraestructuras, información y formación para poder desarrollar proyectos de Ciencia abierta.

Related Organizations
Keywords

Historiografía lingüística, Lingüística de corpus, Humanidades digitales

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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